Data Domain Architect Lead- Operations Product

Do you have a strong background in data analysis particularly with Alteryx workflows and relational database skills to interpret and reverse engineer legacy processes Our team is a highly-collaborative inclusive environment where we value relationship-building strategic thinking and solution-oriented members. Embark on a rewarding and challenging career with our dynamic team where you will have the opportunity to make a significant impact by supporting process improvements key initiatives and expanding your creative skills in a supportive and collaborative environment. Join us and contribute to our mission while advancing your career- with highly supportive leadership and programs to foster growth and career mobility your skills and capabilities can increase and be fine-tuned to make you more agile and versatile in reaching your career potential.

As a Data Domain Architect Lead- Operations Product in Workforce Planning you will be responsible for making quick assessments and comprehension of unstructured problems to develop practical problem-solving strategies. You will need to use your strong background in data analysis particularly with Alteryx workflows and relational database skills to interpret and reverse engineer legacy processes. You will need your excellent communication skills and the ability to work directly with end users are essential and Workforce Planning (WFP) team engages in complex data-intensive projects with significant business impact.

Job responsibilities

• Analyze and interpret complex data sets using Alteryx Databricks and Notebooks and deeply explore data to uncover trends anomalies and actionable insights for business operations.
• Develop and maintain Python scripts for data automation transformation and testing and design implement and manage automated scheduling solutions for data workflows (e.g. Airflow Control M).
• Reverse engineer existing processes and workflows to improve efficiency and scalability and collaborate with end users to gather requirements and understand business needs.
• Develop and maintain comprehensive documentation for data models ETL procedures and data workflows.
• Build test and validate data pipelines including developing test scenarios and assisting in UAT.
• Work closely with engineering and cross-functional teams for successful project implementation.
• Provide insights and recommendations based on data analysis to support business decision-making.
• Work autonomously to achieve objectives and meet deadlines & identify new opportunities for process improvements and automation.

Required qualifications capabilities and skills

• Advanced technical knowledge of data management governance data architecture and big data platforms (AWS Databricks Snowflake).
• Strong experience in Python programming for data wrangling automation and testing. Proficiency in Alteryx for data preparation blending and analysis and experience designing implementing and optimizing ETL processes and data pipelines.
• Hands-on experience with scheduling tools (Airflow Control M or similar) with strong understanding of data modeling concepts including operational and analytical data.
• Proven experience as a Data/Business Analyst Data Engineer or similar technical role and proficiency in SQL and relational databases with experience in reverse engineering processes and workflows and strong problem-solving skills and attention to detail.
• Excellent communication skills for conveying technical information to non-technical stakeholders and comfortable working directly with end users and cross-functional teams.
• Bachelors degree in computer science Information Technology Business Administration or a related field

Preferred qualifications capabilities and skills

• Experience in large-scale data handling and analytics.
• Working experience with Agile methodologies and understanding of Scrum and Kanban boards.
• Exposure to visualization tools (Tableau Qlik Power BI Looker).
• Cloud certification is a plus.
• Experience with documentation tools (Confluence Jira).
• Exposure to additional automation and scheduling tools.